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. 2021 Aug 3;7:e642. doi: 10.7717/peerj-cs.642

Table 4. Comparison of feature importance measures for respective binomial classification models.

Feature Chinese–Japanese Chinese–English Japanese–English
RFI (GBDT) PFI (MLP) RFI (GBDT) PFI (MLP) RFI (GBDT) PFI (MLP)
Speechiness 4.8 1.05 46.6 1.67 39.6 1.22
Loudness 14.1 1.46 3.0 1.19 4.7 1.04
Instrumentalness 26.0 1.22 2.8 1.08 8.5 1.105^
Acousticness 31.1 1.16 34.1 1.35 2.4 1.04
Energy 32.9 1.07 4.7 1.09 16.0 1.114^
Mode name 0.0 1.00 0.0 1.01 0.2 1.00
Duration 9.3 1.08 4.3 1.07 12.9 1.02
Danceability 1.2 1.01 1.6 1.06 10.4 1.110^
Valence 0.7 1.06 1.2 1.02 3.3 1.003
Tempo 1.4 1.01 1.5 1.02 1.9 1.00
Liveness 0.0 1.00 0.2 1.00 0.1 1.00

Note:

While scales between RFI and PFI are not equivalent, both measure model-specific feature importance relative to other features: the higher the score, the larger the importance within the model. Features with highest importance are in bold. PFIs were reported with two decimal places, but we used three decimal places for PFIs denoted by ‘^’. This was to identify the 2nd most important feature for the PDP.